Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
☆238Dec 5, 2022Updated 3 years ago
Alternatives and similar repositories for universal_differential_equations
Users that are interested in universal_differential_equations are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization☆423Mar 27, 2026Updated 3 weeks ago
- ☆40Nov 11, 2021Updated 4 years ago
- Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learnin…☆915Updated this week
- Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.☆737Dec 29, 2025Updated 3 months ago
- Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)☆2,007Apr 11, 2026Updated last week
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- 18.S096 - Applications of Scientific Machine Learning☆315Apr 26, 2022Updated 3 years ago
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,184Apr 10, 2026Updated last week
- A library of systems of partial differential equations, as defined with ModelingToolkit.jl in Julia☆28Updated this week
- An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for …☆1,622Updated this week
- Choo-choo☆67Feb 19, 2025Updated last year
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆133Apr 9, 2026Updated last week
- GPU accelerated Particle Swarm Optimization☆29Apr 9, 2026Updated last week
- Fast and automatic structural identifiability software for ODE systems☆128Updated this week
- A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, …☆381Apr 12, 2026Updated last week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Linear operators for discretizations of differential equations and scientific machine learning (SciML)☆282Jun 15, 2023Updated 2 years ago
- ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.☆32Mar 31, 2026Updated 2 weeks ago
- Electrochemical reaction rate modeling and nonequilibrium phase maps (via AD)☆23Jul 13, 2023Updated 2 years ago
- change variable and function names in Julia code to random emoji☆20Apr 28, 2023Updated 2 years ago
- Nonlinear Dynamics: A concise introduction interlaced with code☆258Jun 26, 2025Updated 9 months ago
- Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization☆599Jan 21, 2026Updated 2 months ago
- Automatic Finite Difference PDE solving with Julia SciML☆200Apr 8, 2026Updated last week
- Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary …☆3,086Apr 9, 2026Updated last week
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆292Sep 28, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.☆68Apr 10, 2026Updated last week
- Interface to DASKR, a differential algebraic system solver for the SciML scientific machine learning ecosystem☆11Updated this week
- Various implementations of the classical SIR model in Julia☆215Nov 20, 2025Updated 4 months ago
- Fast uncertainty quantification for scientific machine learning (SciML) and differential equations☆71Updated this week
- Differential equation solvers with global error estimation☆11Apr 10, 2026Updated last week
- Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax),…☆343Apr 10, 2026Updated last week
- Julia Catalyst.jl importers for various reaction network file formats like BioNetGen and stoichiometry matrices☆27Apr 6, 2026Updated last week
- learning state-space targets in dynamical systems☆29Jun 1, 2024Updated last year
- Implementation of SIAN in Julia☆31Feb 16, 2026Updated 2 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Istope-enabled implementation of the LWF-BROOK90 hydrological model in Julia☆15Apr 1, 2026Updated 2 weeks ago
- Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.☆22Dec 8, 2025Updated 4 months ago
- Symbolic-Numeric Neural DAEs and Universal Differential Equations for Automating Scientific Machine Learning (SciML)☆40Apr 9, 2026Updated last week
- Tools to generate and study moment equations for any chemical reaction network using various moment closure approximations☆49Apr 8, 2026Updated last week
- Automatic Differentiation for Solid Mechanics☆58Jan 29, 2026Updated 2 months ago
- Common interface bindings for the MATLAB ODE solvers via MATLAB.jl for the SciML Scientific Machine Learning ecosystem☆20Jan 8, 2026Updated 3 months ago
- ☆20Aug 2, 2023Updated 2 years ago